SOTAVerified

Image Generation

Image Generation (synthesis) is the task of generating new images from an existing dataset.

  • Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
  • Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

( Image credit: StyleGAN )

Papers

Showing 13011325 of 6689 papers

TitleStatusHype
Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation0
HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads0
Efficient Pruning of Text-to-Image Models: Insights from Pruning Stable Diffusion0
Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding0
High-Resolution Image Synthesis via Next-Token Prediction0
Learning Modality-Aware Representations: Adaptive Group-wise Interaction Network for Multimodal MRI SynthesisCode0
Exploiting Watermark-Based Defense Mechanisms in Text-to-Image Diffusion Models for Unauthorized Data Usage0
Prioritize Denoising Steps on Diffusion Model Preference Alignment via Explicit Denoised Distribution Estimation0
Unsupervised Multi-view UAV Image Geo-localization via Iterative Rendering0
Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps0
ComfyGI: Automatic Improvement of Image Generation Workflows0
Safety Without Semantic Disruptions: Editing-free Safe Image Generation via Context-preserving Dual Latent Reconstruction0
MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation PerspectiveCode2
GalaxyEdit: Large-Scale Image Editing Dataset with Enhanced Diffusion Adapter0
Dealing with Synthetic Data Contamination in Online Continual LearningCode0
Detecting Human Artifacts from Text-to-Image ModelsCode1
Edge-Cloud Routing for Text-to-Image Model with Token-Level Multi-Metric Prediction0
Zero-Shot Low-Light Image Enhancement via Joint Frequency Domain Priors Guided DiffusionCode1
VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative ModelsCode5
RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image GenerationCode2
CopyrightMeter: Revisiting Copyright Protection in Text-to-image Models0
Adaptively Controllable Diffusion Model for Efficient Conditional Image Generation0
Stylecodes: Encoding Stylistic Information For Image GenerationCode1
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and ManipulationCode2
CCIS-Diff: A Generative Model with Stable Diffusion Prior for Controlled Colonoscopy Image Synthesis0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3Unverified
2ADMFID11.84Unverified
3BigGAN-deepFID8.1Unverified
4Polarity-BigGANFID6.82Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59Unverified
6MaskGITFID6.18Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2Unverified
8CDMFID4.88Unverified
9ADM-GFID4.59Unverified
10RINFID4.51Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2Unverified
2RESFLOWFID48.29Unverified
3Residual FlowFID46.37Unverified
4GLF+perceptual loss (ours)FID44.6Unverified
5ProdPoly no activation functionsFID40.45Unverified
6ProdPoly no activation functionsFID36.77Unverified
7ACGANFID35.47Unverified
8DenseFlow-74-10FID34.9Unverified
9NVAE w/ flowFID32.53Unverified
10QSNGANFID31.97Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87Unverified
2GLIDE + CLIPFID30.46Unverified
3GLIDE + CLS-FREEFID29.22Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18Unverified
5PGMGANFID21.73Unverified
6CLR-GANFID20.27Unverified
7FMFID14.45Unverified
8CT (Direct Generation, NFE=1)FID13Unverified
9CT (Direct Generation, NFE=2)FID11.1Unverified
10GLIDE +CLSKID7.95Unverified